Browsing by Subject "Vehicles"

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  • Feng, Yu; Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor data, which were then ...
  • Busch, S. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses ...
  • Coenen, Max; Rottensteiner, Franz; Heipke, Christian (London : International Society for Photogrammetry and Remote Sensing, 2017)
    The detection and pose estimation of vehicles plays an important role for automated and autonomous moving objects e.g. in autonomous driving environments. We tackle that problem on the basis of street level stereo images, ...
  • Wegener, Kathirn; Andrew, Stefan; Raatz, Annika; Dröder, Klaus; Herrmann, Christoph (Amsterdam : Elsevier, 2014)
    The rising number of electric vehicles comes along with an increasing demand for Li-Ion batteries. As resources such as lithium are valuable it is economically worthwhile to recycle EV batteries. One of the first steps of ...
  • Zourlidou, S.; Sester, Monika (Göttingen : Copernicus GmbH, 2016)
    The purpose of this research is to propose and test a method for detecting intersections by analysing collectively acquired trajectories of moving vehicles. Instead of solely relying on the geometric features of the ...
  • Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dynamic objects, like ...